AH
Leooo-Huang/awesome-human-activity-recognition
Always up-to-date, most comprehensive HAR resource — continuously scanned and auto-updated from Papers with Code. 53 datasets integrated across all modalities.
93 1 +2/wk
GitHub
action-recognition awesome awesome-list benchmark computer-vision datasets deep-learning human-activity-recognition machine-learning motion-detection pose-estimation
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Leooo-Huang/awesome-human-activity-recognition has +2 stars this period . 7-day velocity: 4.5%.
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| Metric | awesome-human-activity-recognition | sift | awesome-3d-anomaly-detection | souls-directory |
|---|---|---|---|---|
| Stars | 93 | 93 | 93 | 93 |
| Forks | 1 | 3 | 0 | 4 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | TypeScript | N/A | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | CC-BY-4.0 | MIT | MIT | MIT |
Capability Radar vs sift
awesome-human-activity-recognition
sift
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 58
Fork-to-star ratio: 1.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+2 stars this period — 2.15% growth rate.
License Clarity 60
Licensed under CC-BY-4.0. Review license terms for your use case.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.